Juggling the Data
In the digital age, data has emerged as one of the most valuable assets for businesses across various industries. While structured data, neatly organized […]
February 2024
Access Innovations Will Be At NISO Plus
The NISO Plus conference brings people together from across the global information community to share updates and participate in conversations about our shared challenges and […]
Embracing Emerging Technologies
In an era marked by rapid technological advancements, businesses that fail to adapt risk being left behind in the competitive landscape. Embracing emerging technologies […]
Breaking Down the Silos
In the ever-evolving landscape of data-driven decision-making, organizations are increasingly realizing the drawbacks of data silos—insulated pockets of information that hinder collaboration and limit […]
Leveraging AI to Enhance Accessibility in the Art World
In recent years, artificial intelligence (AI) has been making significant strides in various fields, revolutionizing industries and reshaping the way we approach tasks and […]
The Intersection of Generative AI and Data Quality
In artificial intelligence (AI), particularly within the domain of generative models, the importance of data quality cannot be overstated. Generative AI has gained significant […]
Digital and Customers
In the fast-paced landscape of the 21st century, the information revolution has reshaped the way businesses operate and engage with their customers. Digital transformation, […]
Metadata and AI
Artificial intelligence (AI) can play a significant role in making metadata more meaningful for data management by enhancing its accuracy, relevance and efficiency. This […]
Semantic Search Enhanced
Artificial intelligence (AI) is expected to have a profound impact on the future of search, transforming the way people find information and interact with […]
Data Driving Success
Big data analytics is of paramount importance in today’s data-driven world. It involves the process of collecting, processing and analyzing large and complex datasets […]
